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Update architectures/intro.md

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  Various architectures are used in code generation models, but most of them use the auto-regressive left-to-right setting, such as GPT. However InCoder used a decoder-only Transformer with Causal Masking objective,
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- that combines both next token prediction and bidirectional context through masking. AlphaCode used an encoder-decoder architecture. For model-specific information about each architecture, please select a model below:
 
 
 
 
 
 
 
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  Various architectures are used in code generation models, but most of them use the auto-regressive left-to-right setting, such as GPT. However InCoder used a decoder-only Transformer with Causal Masking objective,
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+ that combines both next token prediction and bidirectional context through masking. AlphaCode used an encoder-decoder architecture.
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+
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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/loubnabnl/repo-images/resolve/main/model_size.png" alt="drawing" width="440"/>
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+ </p>
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+ For model-specific information about each architecture, please select a model below: